TakeLab at SemEval-2018 Task12: Argument Reasoning Comprehension with Skip-Thought Vectors

no code implementations • SEMEVAL 2018 • Ana Brassard, Tin Kuculo, Filip Boltu{\v{z}}i{\'c}, Jan {\v{S}}najder

This paper describes our system for the SemEval-2018 Task 12: Argument Reasoning Comprehension Task.

Common Sense Reasoning Natural Language Inference +2

Toward Stance Classification Based on Claim Microstructures

no code implementations • WS 2017 • Filip Boltu{\v{z}}i{\'c}, Jan {\v{S}}najder

Claims are the building blocks of arguments and the reasons underpinning opinions, thus analyzing claims is important for both argumentation mining and opinion mining.

Argument Mining Classification +4

Fill the Gap! Analyzing Implicit Premises between Claims from Online Debates

no code implementations • WS 2016 • Filip Boltu{\v{z}}i{\'c}, Jan {\v{S}}najder

Argument Mining Opinion Mining

TakeLab at SemEval-2016 Task 6: Stance Classification in Tweets Using a Genetic Algorithm Based Ensemble

no code implementations • SEMEVAL 2016 • Martin Tutek, Ivan Sekuli{\'c}, Paula Gombar, Ivan Paljak, Filip {\v{C}}ulinovi{\'c}, Filip Boltu{\v{z}}i{\'c}, Mladen Karan, Domagoj Alagi{\'c}, Jan {\v{S}}najder

General Classification Stance Classification +1

Identifying Prominent Arguments in Online Debates Using Semantic Textual Similarity

no code implementations • WS 2015 • Filip Boltu{\v{z}}i{\'c}, Jan {\v{S}}najder

Opinion Mining Semantic Textual Similarity

Back up your Stance: Recognizing Arguments in Online Discussions

no code implementations • WS 2014 • Filip Boltu{\v{z}}i{\'c}, Jan {\v{S}}najder

Information Retrieval Opinion Mining